Lead Software Engineer, Full Stack

Capital One•New York, NY

1d•Onsite

About The Position

Lead Software Engineer, Full Stack Capital One Travel is building a brand-new product area inside Emerging Verticals — a true greenfield bet within the fastest-growing credit card travel portal in the US. The product is live but still in its earliest days, which means you won’t be optimizing an existing product, instead, you’ll be designing and shipping high-impact systems from scratch and defining the technical foundation for a category we expect to scale into a multi-billion-dollar market operation. This is a rare pitch for true technical ownership. You’ll join a small, entrepreneurial team that is pioneering AI-native development — using tools like Claude to spec, prototype, build, and QA across many surfaces at 10x speed — all backed by Capital One’s massive distribution engine. If you love going zero-to-one, moving fast, and seeing your work reach millions of customers, this role is for you.

Requirements

Bachelor’s Degree
At least 4 years of experience in software engineering (Internship experience does not apply)
At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Nice To Haves

Master’s Degree
7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
4+ years of experience in open source frameworks
1+ years of people management experience
2+ years of experience in Agile practices
Hands-on experience building and shipping their own projects with AI end-to-end — using interactive AI tooling to spec, generate, test, and deliver, well beyond basic code completion
Experience launching new, customer-facing features at rapid scale in a fast-moving consumer or marketplace environment

Responsibilities

Build new, customer-facing products and platform services from the ground up across the full stack — from data and APIs through to the experiences customers touch.
Work AI-natively: use modern AI tooling to prototype, generate, test, and ship features across many different areas and surfaces at a pace traditional teams can’t match.
Partner directly with product, design, business, and external supply/partner contacts — translating real-world business needs into technical solutions and owning them end-to-end.
Lead a portfolio of fast-moving projects and help set the engineering bar for a new team, mentoring others and raising the standard for AI-accelerated delivery.
Make pragmatic architecture decisions for systems that need to scale quickly and reliably as the vertical grows.
Utilize languages and tools like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, open source RDBMS and NoSQL databases, container orchestration including Docker and Kubernetes, and a range of AWS services.